Web Scraping & Data Enrichment

Here is a copy-and-paste job description designed to attract the right freelancers while filtering out low-quality automated bids. Simply copy the text below and paste it into Upwork or Fiverr (for Fiverr, you can use this as your gig requirement or message to a seller). --- ### **Job Title:** Web Scraping & Data Enrichment: Find Emails & Facebook Pages for 1,000+ Quebec Stores ### **Job Description:** **Project Overview:** I have an existing Google Sheet database containing approximately 3,000 convenience stores (*dépanneurs*) and local retailers located across Quebec, Canada. The list currently includes the Business Name, Address, City, Province, and Phone Number. I need an experienced data scraper or web researcher to find and fill in two missing columns for each business: 1. **Official Business Email Address** (if publicly available) 2. **Official Facebook Page URL** **Requirements & Project Scope:** * **Accuracy is critical:** Because many local stores in Quebec have generic names (e.g., "Petro-Canada" or "Marché G & S"), you must cross-reference the **City** and **Phone Number** to ensure you are finding the exact matching location's email or Facebook page. * **French Language Context:** Since these businesses are located in Quebec, their online presence and Facebook pages will primarily be in French. Comfort navigating French websites/search results is highly preferred. * **Deliverable:** The final data must be populated directly back into my Google Sheet (or delivered via a clean CSV matching my exact column structure). **Payment Terms (Important):** I understand that some small, rural convenience stores may not have a public email address or a Facebook page. You will be paid a fixed price for thoroughly researching the full list of ~3,000 stores. However, for any store where data cannot be found, you must leave the cell blank (do not use generic placeholder links or incorrect locations). **How to Apply:** Please reply with: 1. A brief description of the tools/methods you will use (Python, Scrapy, Google Maps API, manual verification, etc.). 2. Your estimated timeline to complete 3,000 records. 3. To prove you read this entire description, please type the word **"CANETTE"** at the very beginning of your proposal.